SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 3776–3800 of 10817 papers

TitleStatusHype
PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering GroundingCode0
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks—0
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs—0
Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications—0
Evaluating the Symbol Binding Ability of Large Language Models for Multiple-Choice Questions in Vietnamese General Education—0
Open-ended Commonsense Reasoning with Unrestricted Answer Scope—0
Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise DetectionCode0
Understanding Retrieval Augmentation for Long-Form Question Answering—0
Systematic Assessment of Factual Knowledge in Large Language Models—0
Alexpaca: Learning Factual Clarification Question Generation Without Examples—0
Emulating Human Cognitive Processes for Expert-Level Medical Question-Answering with Large Language Models—0
UNK-VQA: A Dataset and a Probe into the Abstention Ability of Multi-modal Large ModelsCode0
QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question AnsweringCode0
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionCode4
If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in HistoryCode0
Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts—0
A Search for Prompts: Generating Structured Answers from Contracts—0
Untying the Reversal Curse via Bidirectional Language Model EditingCode1
Unifying Image Processing as Visual Prompting Question Answering—0
JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuningCode1
Empirical Study of Zero-Shot NER with ChatGPTCode1
Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering SystemsCode0
Dual-Encoders for Extreme Multi-Label ClassificationCode0
BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in BiologyCode1
On Context Utilization in Summarization with Large Language ModelsCode0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified